Download An Example Presentation

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Computational electromagnetics wikipedia, lookup

Lateral computing wikipedia, lookup

A New Kind of Science wikipedia, lookup

Numerical weather prediction wikipedia, lookup

Hendrik Wade Bode wikipedia, lookup

Data assimilation wikipedia, lookup

Theoretical computer science wikipedia, lookup

Computational chemistry wikipedia, lookup

Operations research wikipedia, lookup

Computational fluid dynamics wikipedia, lookup

Artificial intelligence wikipedia, lookup

Natural computing wikipedia, lookup

Transcript
Research Publications
•
•
•
•
•
•
•
Chebyshev series
Lagrange’s implicit function theorem
Quasilinearization
Boundary value problems
Numerical quadrature
General problem of three bodies
Principle of least interaction action
Research Publications
• Back correction methods
• Onboard orbit determination
• Transformations of equations
• Local truncation errors
• Methods with variable step-size
• Minimization with nonlinear
constraints
Research Publications
•AI languages and applications
•Fault isolation in real-time expert
systems
•Graphical interfaces for expert
systems
•Windowing systems - X
•Blackboard systems for fault
diagnosis
Current Research Interests
•
•
•
•
•
•
Artificial intelligence
Knowledge-based systems
Machine learning
Real-time expert systems
Computer graphics
Numerical methods
Artificial Intelligence
• Fuzzy logic
• Production systems
• AI languages
• Knowledge representation
• Search techniques
• Reasoning under uncertainty
• Computer vision
Knowledge-based Systems
• Graphics interfaces
• CLIPS (forward chaining)
• Prolog (backward chaining)
• Real-time knowledge-based
systems
• Knowledge acquisition
Machine Learning
• Decision trees
• Markov models
• Bayesian networks
• Neural networks
• Parameter estimation
• Multinomial models
• Data mining applications
Computer Graphics
• Hidden surface elimination
• Quadtrees and octrees
• Linear octrees
• Graphical user interfaces
• Human-computer interaction
• Human factors
Numerical Methods
• Numerical quadrature
• Numerical differentiation
• Numerical solution of ordinary
differential equations
– Stable multistep methods
– Explicit Runge-Kutta methods
• Parallel computation and grid
computing
Research Themes
• Unification / understanding of
problem solving methods
• Developing novel approaches
• Using analogies with other fields
• Focusing on central or core
problem first
• Efficiency / reliability of methods
• Application to real-world problems
Lessons Learned
• Focus on the distinctive characteristics
of techniques or methods, then unify
• Keep things in perspective
• Discuss your ideas with others
• Question every assumption
– Ask why and/or why not
• Save ideas for future study
• Plan ahead
Master’s Thesis
• Ponder
• Be certain it’s what you want to do
• Discuss with faculty with common
interests and expertise in the area
• Identify supervising faculty member
• Do an independent study first
– Fine tune your research interests
– Identify a potential thesis committee
– Develop a thesis proposal with their input
Master’s Thesis (cont’d)
• Once proposal is approved
– Meet with committee to discuss further
your topic and your approach to it
– Meet regularly with your thesis advisor and
committee members while conducting the
research
– Draft chapters and submit to advisor and
committee as you develop your thesis
– Final completion of thesis and presentation